Pimco Income Fund Market Value
PIPNX Fund | USD 10.62 0.02 0.19% |
Symbol | Pimco |
Pimco Income 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Pimco Income's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Pimco Income.
02/27/2024 |
| 03/28/2024 |
If you would invest 0.00 in Pimco Income on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding Pimco Income Fund or generate 0.0% return on investment in Pimco Income over 30 days. Pimco Income is related to or competes with USCF Gold, Pimco Rae, Pimco Rae, New York, Pimco New, Pimco New, and New York. The fund invests at least 65 percent of its total assets in a multi-sector portfolio of Fixed Income Instruments of vary... More
Pimco Income Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Pimco Income's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Pimco Income Fund upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.3337 | |||
Information Ratio | (0.38) | |||
Maximum Drawdown | 1.62 | |||
Value At Risk | (0.47) | |||
Potential Upside | 0.3835 |
Pimco Income Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pimco Income's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pimco Income's standard deviation. In reality, there are many statistical measures that can use Pimco Income historical prices to predict the future Pimco Income's volatility.Risk Adjusted Performance | 0.0422 | |||
Jensen Alpha | (0.01) | |||
Total Risk Alpha | (0.05) | |||
Sortino Ratio | (0.32) | |||
Treynor Ratio | 0.0858 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Pimco Income's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Pimco Income Fund Backtested Returns
We consider Pimco Income very steady. Pimco Income Fund maintains Sharpe Ratio (i.e., Efficiency) of 0.0617, which implies the entity had a 0.0617% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Pimco Income Fund, which you can use to evaluate the volatility of the fund. Please check Pimco Income's Coefficient Of Variation of 1069.71, semi deviation of 0.1994, and Risk Adjusted Performance of 0.0422 to confirm if the risk estimate we provide is consistent with the expected return of 0.0175%. The fund holds a Beta of 0.19, which implies not very significant fluctuations relative to the market. As returns on the market increase, Pimco Income's returns are expected to increase less than the market. However, during the bear market, the loss of holding Pimco Income is expected to be smaller as well.
Auto-correlation | 0.42 |
Average predictability
Pimco Income Fund has average predictability. Overlapping area represents the amount of predictability between Pimco Income time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Pimco Income Fund price movement. The serial correlation of 0.42 indicates that just about 42.0% of current Pimco Income price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.42 | |
Spearman Rank Test | 0.69 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Pimco Income Fund lagged returns against current returns
Autocorrelation, which is Pimco Income mutual fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Pimco Income's mutual fund expected returns. We can calculate the autocorrelation of Pimco Income returns to help us make a trade decision. For example, suppose you find that Pimco Income has exhibited high autocorrelation historically, and you observe that the mutual fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
Timeline |
Pimco Income regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Pimco Income mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Pimco Income mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Pimco Income mutual fund over time.
Current vs Lagged Prices |
Timeline |
Pimco Income Lagged Returns
When evaluating Pimco Income's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Pimco Income mutual fund have on its future price. Pimco Income autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Pimco Income autocorrelation shows the relationship between Pimco Income mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Pimco Income Fund.
Regressed Prices |
Timeline |
Becoming a Better Investor with Macroaxis
Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Pimco Income Fund using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.Build Optimal Portfolios
Align your risk with return expectations
Check out Pimco Income Correlation, Pimco Income Volatility and Pimco Income Alpha and Beta module to complement your research on Pimco Income. You can also try the Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
Complementary Tools for Pimco Mutual Fund analysis
When running Pimco Income's price analysis, check to measure Pimco Income's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Pimco Income is operating at the current time. Most of Pimco Income's value examination focuses on studying past and present price action to predict the probability of Pimco Income's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Pimco Income's price. Additionally, you may evaluate how the addition of Pimco Income to your portfolios can decrease your overall portfolio volatility.
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Pimco Income technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.